Local Insight profile for Didcot’ area€¦ · Local Insight profile for ‘Didcot’ area LI - Oxfordshire Community Foundation Report created 23 April 2019 . 2 Finding your way

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Local Insight profile for ‘Didcot’ area LI - Oxfordshire Community Foundation Report created 23 April 2019

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Finding your way around this Local Insight profile

Introduction Page 3 for an introduction to this report

Population

There are 28,285 people living in Didcot

See pages 4-9 for more information on population by age and gender, ethnicity, country

of birth, language, migration, household composition and religion Education & skills

19% of people have no qualifications in Didcot compared with

22% across England

See pages 44-46 for more information on qualifications, pupil attainment and early years

educational progress

Vulnerable groups

10% of children are living in poverty in Didcot compared with

17% across England

See pages 10-22 for more information on children in poverty, people out of work, people

in deprived areas, disability, pensioners and other vulnerable groups Economy

53% people aged 16-74 are in full-time employment in Didcot

compared with 39% across England

See pages 47-53 for more information on people’s jobs, job opportunities, income and local

businesses

Housing

2% of households lack central heating in Didcot compared

with 3% across England

See pages 23-32 for more information on dwelling types, housing tenure, affordability,

overcrowding, age of dwelling and communal establishments

Access &

transport

16% of households have no car in Didcot compared with 26%

across England

See pages 54-56 for more information on transport, distances services and digital services

Crime & safety

The overall crime rate is lower than the average across

England

See pages 33-34 for more information on recorded crime and crime rates Communities &

environment

The % of people 'satisfied with their neighbourhood' (90.6%) is

higher than the average across England (79.3%)

See pages 57-63 for more information on neighbourhood satisfaction, the types of

neighbourhoods locally, local participation and the environment, air pollution

Health &

wellbeing

13% of people have a limiting long-term illness in Didcot

compared with 18% across England

See pages 35-43 for more information on limited long-term illness, life expectancy and

mortality, general health and healthy lifestyles

Appendix A Page 64 for information on the geographies used in this report, publication dates for new

indicators and acknowledgements.

Oxford Consultants for Social Inclusion (OCSI), www.ocsi.co.uk / 01273 810 270. ©OCSI 2019.

This report, or any part, may be reproduced in any format or medium, provided that is reproduced accurately and not used in a misleading context. The source must be identified and the title of the publication specified with the copyright status acknowledged

http://www.ocsi.co.uk/

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Local Insight for LI - Oxfordshire Community Foundation

Local Insight gives you access to interactive maps and reports at small area level.

These reports show key social and economic indicators and allow you to compare the

area selected to comparator areas.

OCSI

Local Insight is a tool developed by Oxford Consultants for Social Inclusion (OCSI)

based on a project developed jointly between OCSI and HACT.

OCSI develop and interpret the evidence base to help the public and community

organisations deliver better services. A 'spin-out' from the University of Oxford Social

Policy Institute, OCSI have worked with more than 100 public and community sector

clients at local, national and international level. See www.ocsi.co.uk for more.

About the indicators

Information published by government as open data – appropriately visualised, analysed

and interpreted – is a critical tool for Local Authorities.

OCSI collect all local data published by more than 50 government agencies, and have

identified key indicators relevant to local authorities to use in this report and the

interactive webtool (local.communityinsight.org).

How we have identified the “Didcot” area

This report is based on the definition of the “Didcot” area created by LI - Oxfordshire

Community Foundation, (you can view this area on the Local Insight map, through finding

the area on the ‘show services’ dropdown in the top left hand corner of the map). We

have aggregated data for all the neighbourhoods in “Didcot” to create the charts and

tables used in this report.

Alongside data for the “Didcot”, we also show data for selected comparator areas:

Oxfordshire and England.

Introduction )


http://local.communityinsight.org/

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Local Insight profile for Didcot © OCSI 2019.

What information is shown here?

The information on this page shows the number of people living in Didcot. These

population figures provide detail of the structure of the population by broad age

bands and sex.

The first information box shows the total number of people usually resident in the

area, with the male female breakdown. Also shown are numbers by age, and the

‘dependency ratio’. This is the ratio of non-working age (those aged 0-15 and over

65) to working age population and is useful in understanding the pressure on a

productive population in providing for the costs of services and benefits used by

the youngest and oldest in a population. For example, a ratio of 25% would imply

one person of non-working age for every four people of working age.

The population pyramid compares the proportion of males and females by five

year age bands. The line chart shows how the population is changing over time in

Didcot and comparator areas. The stacked bar chart, below, shows the age

breakdown of the population in Didcot and comparator areas by broad age band.

Total Population Aged 0-15 Working age

population Aged 65+

Dependency

ratio

28,285 6,205 18,600 3,480 0.52

49.8% male;

50.2% female

21.9% (England

average = 19.1%)

65.8% (England

average = 62.8%)

12.3% (England

average = 18.0%)

England average =

0.59

Source: Mid-Year Estimates (ONS) 2017

Figure: Population estimates by 5 year age band

Source: Mid-Year Estimates (ONS) 2017

Figure: Population by age

Source: Mid-Year Estimates (ONS) 2017 Figure: % change in total population from 2001-2017

Source: Mid-Year Estimates (ONS)

Population: Age and gender

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The information on the right shows the number of people in Didcot by ethnicity,

based on each person’s perceived ethnic group and cultural background.

The information boxes display the number of people who have identified

themselves as White British and the number from non-White ethnic minority

groups, as well as the five broad ethnic minority groups (White non-British,

Mixed, Asian, Black and other ethnic group.

The final information box shows the proportion of households where not all

household members are of the same ethnicity (households with multiple ethnic

groups).

The bar chart on the right shows a detailed breakdown of the percentage of

people in ethnic minority groups by ethnic category.

White British Non-White White-non-British Mixed

22,330 1,375 1,435 330 88.8% (England average =

79.8%)

5.5% (England average =

14.6%)


5.7%)


2.3%)

Asian Black Other ethnic group Households with

multiple ethnicities

715 245 85 865 2.8% (England average =

7.8%)


3.5%)


1.0%)


8.9%)

Source: Census 2011

Figure: Population by ethnic group (excluding White British)

Source: Census 2011

Population: Ethnicity

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The information on the right shows the number of people in Didcot by country of

birth.

The top row information boxes display the number of people in Didcot who were

born in England and outside the UK as well as the number of people with a UK

passport and non-UK passport.

The second row information boxes show the language breakdown of households,

identifying the number of households in Didcot with one or more members who

cannot speak English.

The bar chart on the right shows a detailed breakdown of the percentage of people

in Didcot born outside of England by the geographic region of birth.

Born in England Born Outside the UK With a UK passport With a non-UK

passport

21,515 2,615 18,965 1,895 85.6% (England average

= 83.5%)

10.4% (England

average = 13.8%)

75.4% (England average

= 75.8%)


8.8%)

All people in

households have

English as main

language

At least one adult

(not all) has English

as main language

No adults but some

children have English

as main language

No household

members have

English as main

language

9,445 315 55 315 93.2% (England average

= 90.9%)


= 3.9%)


0.8%)


4.4%)

Source: Census 2011

Figure: Population born outside England

Source: Census 2011

Population: Country of birth and household language

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The information box shows the number and percentage of migrants in Didcot and

across England as a whole. A migrant is defined as a person with a different

address one year before Census day. The migrant status for children aged under

one in households is determined by the migrant status of their ‘next of kin’

(defined as in order of preference, mother, father, sibling (with nearest age), other

related person, Household Reference Person).

The chart on the right shows the population turnover rate by age band. This is

calculated as the rate of in or out migratory moves within England and Wales per

1,000 resident population.1 Figures are based on GP patient register records. The

left-hand bars (lighter colour) show people moving out of the area – higher values

for a particular group indicate that this age-group is more likely to move away from

the area. The right-hand bars (darker colour) show people moving into the area –

higher values for a particular group indicate that this age-group is more likely to

move into the area.

The data table on the top right and the chart on the bottom right show the total

number of people registering with a National Insurance number who have come

from overseas. This is a measure of the number of people who have migrated to

the UK from overseas to work, who have registered for a National Insurance

number in the local area.

People who have moved address within the last 12

months (Census 2011)

Overseas migrants (National Insurance no.

registrations of overseas nationals) (DWP 2017/18)

2,695 290 10.7% ( average = 12.3%) 1.6% ( average = 1.7%)

Figure: Level of inward and outward migration (by age)

Source: Population Turnover Rates – Office for National Statistics (2010)

Figure: Number of overseas nationals registering with a National Insurance Number

Source: National Insurance No. registrations – Department for Work and Pensions (2017/18)

1 Please note that there are currently no planned updates for this dataset, however we still consider it to be relevant.

Population: Migration

Population: Migration

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The information on this page shows the composition of household types in

Didcot. The information boxes contain the number of households in Didcot

classified under the main household composition breakdowns. The chart shows

the same information as a percentage of all households.

Pensioner households One person households (aged

under 65)

Lone parent families with dependent

children

1,565 1,715 680

15.4% (England average = 20.7%) 16.9% (England average = 17.9%) 20.0% of all families with dependent

children (England average = 24.5%)

Married households Cohabiting households Student households

3,850 1,300 5 38.0% (England average = 33.2%) 12.8% (England average = 9.8%) 0.0% (England average = 0.6%)

Source: Census 2011

Figure: Population by household composition

Source: Census 2011

Population: All households

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The information on the right shows the number of people living in Didcot by religious

belief, categorised by the six major religions, other religion and no religion.

The bar chart shows the percentage of people in Didcot and comparator areas who are

of non-Christian religious belief, displayed by religion.

Note, figures in the table and charts may not add up to 100% because they do not

include figures for those for who did not reply to the religion question – who were

recorded as ‘religion not stated’ in the census data publication.

Christian Buddhist Hindu Jewish

14,885 105 195 30 59.2% (England average =

59.4%)


= 0.5%)


= 1.5%)


0.5%)

Muslim Sikh Other religion No religion

200 15 100 7,765 0.8% (England average =

5.0%)


= 0.8%)


= 0.4%)


= 24.7%)

Source: Census 2011

Figure: Population with non-Christian religion

Source: Census 2011

Population: Religion

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Vulnerable groups: People out of work (1)


The information in this section shows counts of people who are out of work

and receiving workless benefits: Jobseekers Allowance (JSA)/Universal

Credit (UC) and Incapacity Benefit (IB)/Employment and Support Allowance

(ESA).

JSA is payable to people under pensionable age who are available for, and

actively seeking, work of at least 40 hours a week. A subset of UC

claimants (claimants in the ‘searching for work’ conditionality group) are

additionally included in the ‘Unemployment Benefit’ count, as UC is slowly

replacing JSA for new claims. Note, ‘the searching for work’ conditionality

group includes a small number of claimants who would not be considered

unemployed under the previous JSA benefits regime e.g. those with work

limiting illness awaiting health checks. Therefore, there is likely to be a

slight overcount of the proportion of Unemployed Benefit claimants in areas

where the UC rollout is more advanced.

IB and ESA are workless benefits are payable to people who are out of

work and have been assessed as being incapable of work due to illness or

disability and who meet the appropriate contribution conditions. Note, since

March 2016, ESA is being replaced by UC for new claimants. It is not

possible to capture the total number of claimants of sickness benefits as the

UC does not provide a breakdown for health condition; therefore, the total

count of ESA/IB claimants presented here is likely to be an underestimate

of the full count of those workless and receiving benefits due to sickness or

disability.

The information boxes on the top right show: the total number of adults

(aged 16-64) receiving JSA and UC; the total claiming for more than 12

months; claimants aged 18-24 and 50+, the number of people receiving

‘Incapacity benefits’ (IB or ESA); and the number and proportion of 16-64

year olds receiving workless benefits (UC, JSA, IB or ESA).

Unemployment Benefit

(JSA and UC) claimants

(Mar-19)

JSA claimants claiming

for more than 12 months

(Mar-19)

Youth unemployment

(JSA/UC) claimants aged

18-24) (Mar-19)

Older unemployed

(JSA/UC claimants

aged 50+) (Mar-19)

270 05 45 55 1.5% (England average =

2.6%)


0.4%)


3.5%)


1.2%)

Male unemployment

claimants (JSA and UC)

(Mar-19)

Female unemployment

claimants (JSA and UC)

(Mar-19)

Working age workless

benefit claimants * (Aug-18)

Incapacity benefits

claimants (Aug-18)

145 125 740 510 1.6% (England average =

3.1%)


2.1%)


7.4%)


5.3%)

Source: Department for Work and Pensions

* ‘Working age workless benefit claimants’ is a combination of ‘Unemployment benefit claimants (JSA and Universal

Credit)’ + and ‘Incapacity benefits claimants (IB/ESA)’

Figure: Unemployment benefit (Jobseekers Allowance/Universal Credit) claimants


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Vulnerable groups: People out of work (2)

The line charts below show month on month changes in the proportion of people claiming IB or ESA and the proportion claiming JSA or UC in the searching for work conditionality group across Didcot and comparator areas. Figure: % of Jobseekers Allowance claimants claiming for more than 12 months

Source: Department for Work and Pensions (Mar-19) Figure: Workless benefit claimants aged 16-24 and 16-64

Source: Jobseekers Allowance/Universal Credit/Incapacity benefits/Employment and Support Allowance –

Department for Work and Pensions (Aug-18)

Figure: Working age population (16-64) claiming incapacity benefits (Employment Support Allowance and

Incapacity Benefit)


Figure: 16-24 year olds receiving ‘Workless’ benefits (Incapacity Benefit, Employment Support Allowance,

Jobseekers Allowance and Universal Credit)


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Vulnerable groups: Disability


The information in this section looks at the prevalence of disability among

people living in Didcot. There are three measures of disability presented:

those claiming Attendance Allowance, Personal Independence Payments and

Disability Living Allowance.

Attendance Allowance is payable to people over the age of 65 who are so

severely disabled, physically or mentally, that they need a great deal of help

with personal care or supervision.

Until April 2013, Disability Living Allowance was payable to children and

adults in or out of work who are below the age of 65 and who were disabled,

and required help with personal care or had walking difficulties. It is a non-

means tested benefit, which means it is not affected by income. From April

2013 Personal Independence Payments (PIP) have been introduced to

replace Disability Living Allowance for all new claimants. PIP helps with some

of the extra costs caused by long-term disability, ill-health or terminal ill-

health.

The information boxes on the right show the total number of people receiving

Attendance Allowance, Disability Living Allowance and PIP (by key

breakdown) across Didcot.

Attendance Allowance claimants

(Aug-18)

Personal Independence

Payment (PIP) (Oct-18) PIP Males (Oct-18)

395 440 210 11.3% of people claim Attendance

Allowance in Didcot areas and 13.2%

claim in England

2.4% of people receive PIP in

Didcot areas and 4.7% claim in

England

2.3% of males receive PIP in Didcot areas

and 4.3% claim in England

PIP Females (Oct-18) PIP with mental health

conditions (Oct-18)

Disability Living Allowance claimants

(Aug-18)

245 210 610

2.7% of males receive PIP in Didcot areas


1.1% of males receive PIP in

Didcot areas and 1.6% claim in

England

2.2% of people claim DLA in Didcot areas


Figure: Personal Independence Payment (PIP) recipients

Source: Department for Work and Pensions (Oct-18)

Figure: Older people with social care needs (receiving Attendance Allowance)


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Universal Credit: Conditionality Regime


The information in this page shows the proportion of people in receipt of

Universal Credit against six levels of conditionality. Conditionality refers to work-

related activities an eligible adult will have to do in order to get full entitlement to

Universal Credit.

Searching for work: Claimants who are not working, or with very low

earnings. The claimant is required to take action to secure work - or

more / better paid work. The Work Coach supports them to plan their

work search and preparation activity.

Working with requirements: Claimants who are in work but could

earn more, or not working but has a partner with low earnings.

No work requirements: Claimants who are not expected to work at

present. Health or caring responsibility prevents claimant from working

or preparing for work.

Planning for work: Claimants who are expected to work in the future.

Lone parent / lead carer of child aged 1 (Aged 1 - 2, prior to April 2017).

The claimant is required to attend periodic interviews to plan for their

return to work.

Working no requirements: Claimants whose individual or household

earnings is over the level at which conditionality applies. Required to

inform DWP of changes of circumstances, particularly if at risk of

decreasing earnings or losing job.

Preparing for work: Claimants who are expected to start preparing for

future even with limited capability for work at the present time or a child

aged 2 (Aged 3 - 4, prior to April 2017), the claimant is expected to take

reasonable steps to prepare for work including Work Focused Interview.

Universal Credit claimants: Searching

for work (Mar-19)

Universal Credit claimants:

Working with requirements

(Mar-19)

Universal Credit claimants: No work

requirements (Mar-19)

240 125 130 1.3% (England average = 2.0%) 0.7% (England average = 0.6%) 0.7% (England average = 0.9%)

Universal Credit claimants: Planning

for work (Mar-19)


Working no requirements

(Mar-19)


Preparing for work (Mar-19)

25 200 30 0.1% (England average = 0.1%) 1.1% (England average = 0.7%) 0.2% (England average = 0.2%)

Source: Department for Work and Pensions (DWP)

Figure: Working age population claiming Universal Credit by conditionality breakdown


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Vulnerable groups: Working age benefit claimants (1)


The information in this page shows the number of people in receipt of key

welfare benefits payable by the Department for Work and Pensions (DWP).

Working age DWP Benefits are benefits payable to all people of working age

(16-64) who need additional financial support due to low income, worklessness,

poor health, caring responsibilities, bereavement or disability.

Housing Benefit (HB) can be claimed by a person if they are liable to pay rent

and if they are on a low income and provides a measure of the number of

households in poverty.

Income Support is a measure of people of working age with low incomes and is

a means tested benefit payable to people aged over 16 working less than 16

hours a week and having less money coming in than the law says they need to

live on.

Universal Credit (UC) has started to replace these legacy benefits for new

claimants. The UC rollout began in April 2013, with single jobseeker’s moving on

to the new benefit and by March 2016 the rollout intensified to include other

groups who are out of work or on low incomes.

The chart on the right shows the change in the proportion of working age people

receiving DWP benefits. The charts on the following page show the change in

the proportion of Income Support and Housing Benefits claimants and the age

breakdown of DWP benefit claimants across Didcot and comparator areas.

Note, recent changes observed in these charts can be partially attributed to the

migration of claimants from legacy working age DWP benefits, Housing Benefit

and Income Support towards Universal Credit.

Working age DWP Benefit claimants

(Nov-16)

Female working age benefit

claimants (Nov-16)

Male working age benefit claimants

(Nov-16)

1,175 730 445 6.4% (England average = 10.7%) 8.0% (England average = 11.8%) 4.8% (England average = 9.6%)

Income Support (IS) claimants

(Aug-18)

Housing Benefit claimants

(Nov-18) Universal Credit claimants (Mar-19)

150 1,075 730 0.8% (England average = 1.3%) 10.3% (England average = 14.5%) 3.9% (England average = 4.5%)

Source: Department for Work and Pensions (DWP)

Figure: Working age population claiming DWP benefit claimants (for all DWP benefits)


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Vulnerable groups: Working age benefit claimants (2)

Figure: Income Support claimants

Source: Department for Work and Pensions (Aug-18) Figure: Age breakdown of working age DWP benefit claimants (for all DWP benefits)

Source: Department for Work and Pensions (Nov-16)

Figure: Housing Benefit claimants

Source: Department for Work and Pensions Figure: Breakdown of working age DWP benefit claimants by reason for claim

Source: Department for Work and Pensions (Nov-16)

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The information on this page looks at overall levels of deprivation across Didcot based

on the Index of Multiple Deprivation (IMD) 2015. IMD 2015 is the most comprehensive

measure of multiple deprivation available. The concept of multiple deprivation upon

which the IMD 2015 is based is that separate types of deprivation exist, which are

separately recognised and measurable. The IMD 2015 therefore consists of seven

types, or domains, of deprivation, each of which contains a number of individual

measures, or indicators.2

The information boxes on the right show the number of people in Didcot living in

neighbourhoods ranked among the most deprived 20% of neighbourhoods in England

on IMD 2015 and the seven IMD domains. The chart on the right shows the number of

people living in neighbourhoods grouped according to level of deprivation. The charts on

the following pages show the same information for each of the domains. All

neighbourhoods in England are grouped into ten equal sized groups “deciles”; the 10%

of neighbourhoods with the highest level of deprivation (as measured in the IMD) are

grouped in decile 10, and so on with the 10% of neighbourhoods with the lowest levels

of deprivation grouped in decile 1.

Number of people in Didcot living in the most deprived 20% of areas of England by Indices of Deprivation

(ID) 2015 domain Index of Multiple

Deprivation Income domain Employment domain Education domain

0 0 0 7,578 (England average =

20.1%)

(England average =

20.1%)

(England average =

19.7%)

29.7% (England

average = 19.8%)

Health domain Barriers to Housing

and Services domain

Living Environment

domain Crime domain

0 1,534 0 1,102 -(England average =

19.8%)


= 21.2%)

(England average =

21.0%)

4.3% (England

average = 20.6%)

Source: Communities and Local Government (Indices of Deprivation 2015)

Figure: Number of people in each deprivation decile, Index of Multiple Deprivation 2015


2 The seven domains of deprivation included are: Employment deprivation, Income deprivation, Health deprivation and disability, Education, skills and training deprivation, Crime, Living environment deprivation, Barriers to

housing and services.

Vulnerable groups: Deprived neighbourhoods (1)

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Figure: Number of people in each deprivation decile, ID 2015 Income domain


Figure: Number of people in each deprivation decile, ID 2015 Education domain


Figure: Number of people in each deprivation decile, ID 2015 Employment domain


Figure: Number of people in each deprivation decile, ID 2015 Health domain


19



Figure: Number of people in each deprivation decile, ID 2015 Barriers to Housing and Services domain


Figure: Number of people in each deprivation decile, ID 2015 Crime domain


Figure: Number of people in each deprivation decile, ID 2015 Living Environment domain


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Vulnerable groups: Children (1)


This page looks at children in out of work households, children in poverty and children

in lone parent households. Children in ‘out of work’ households, are defined as

dependent children living in families where all adults are in receipt of Jobseeker\'s

Allowance, Income Support, Employment and Support Allowance, Incapacity

Benefit/Severe Disablement Allowance or Pension Credit. This measure includes

Universal Credit claimants. The children in poverty measure shows the proportion of

children (aged 0-15) in families in receipt of out of work benefits, or in receipt of tax

credits where their reported income is less than 60% median income. Out of work

means-tested benefits include: Income-Based Jobseekers Allowance, incapacity

benefits and Income Support.

The information boxes on the right show the count of people in each of these three

categories in Didcot. The bar chart shows the percentage of people in each of these

categories across Didcot and comparator areas (as a percentage of all children

receiving Child Benefit). The line chart shows the year on year change in the proportion

of children in out of work households.

Children in ‘out of work’

households (2016)

Children in lone parent

households (2012) Children in poverty (2016)

540 1,315 690

8.9% (England average = 14.0%) 21.9% (England average =

27.2%)


17.0%)

Source: Children in lone parent households - HM Revenue and Customs; Children in ‘out of work’

households, Children in poverty - Department for Work and Pensions

Figure: Children living in poverty, worklessness and lone parent households

Source: Children in lone parent households - HM Revenue and Customs (2012); Children in ‘out of work’

households - Department for Work and Pensions (2016); Children in poverty - Department for Work and

Pensions (2016)

Figure: Children living in poverty


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Vulnerable groups: Children (2) - Child Wellbeing Index

3 Please note that there are currently no planned updates for this dataset, however we still consider it to be relevant.

4 Material wellbeing - children experiencing income deprivation; Health and disability – children experiencing illness, accidents and disability; Education - education outcomes including attainment, school attendance and

destinations at age 16; Crime - personal or material victimisation of children; Housing - access to housing and quality of housing for children; Environment - aspects of the environment that affect children’s physical well-being;

Children in need – vulnerable children receiving LA services.


The information on this page shows levels of child wellbeing across Didcot as measured

using the Child Wellbeing Index (CWI) from 2009.3 The CWI is a small area index

measuring child wellbeing – how children are doing in a number of different aspects of

their life. The index covers the major domains of a child’s life that have an impact on

child wellbeing and that are available for neighbourhoods in England. The CWI is made

up of seven domains.4

The eight information boxes on the right show the number of people in Didcot living in

areas ranked among the most deprived 20% of neighbourhoods in England on CWI and

the seven domains. The chart on the right shows the number of people living in

neighbourhoods grouped according to level of child wellbeing deprivation. All

neighbourhoods in England are grouped into ten equal sized groups “deciles”; the 10%

of neighbourhoods with the highest level of deprivation (lowest level of child wellbeing)

are grouped in decile 10, and so on with the 10% of neighbourhoods with the lowest

levels of deprivation grouped in decile 1.

Number of people in Didcot living in the most deprived 20% of areas of England by Child Wellbeing Index

domain

Child Wellbeing Index Children in Need

domain

Material Wellbeing

domain Education domain

0 0 0 5,231 (England average =

20.2%)

(England average =

20.1%)

(England average =

20.2%)


= 19.8%)

Environment domain Health domain Housing domain Crime domain

3,041 0 0 1,439 12.6% (England average =

20.5%)

(England average =

19.9%)

(England average =

20.4%)


19.8%)

Source: Communities and Local Government (Child Wellbeing Index 2009)

Figure: Number of people in each deprivation decile, Child Wellbeing Index 2009

Source: Communities and Local Government (Child Wellbeing Index 2009)

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Vulnerable groups: Pensioners


The information on this page looks at pensioner groups that may face greater

risks or who may have different types of need. There are three measures

included: pensioners without access to transport, pensioner loneliness and

pensioners in poverty.

Pensioners without access to transport are those with no access to a car or

van. The dataset only includes pensioners living in private households.

There are two indicators of pensioner loneliness. The census provides a

measure of the proportion of pensioners living alone (defined as households of

one pensioner and no other household members). In addition, Age Concern

have developed a Loneliness Index (which predicts the prevalence of

loneliness amongst people aged 65+) based on census data. Areas with a

value closer to 0 predict a greater prevalence of loneliness amongst those

aged 65 and over and living in households compared to areas with a value

further away from 0.

Pensioners in poverty are those in receipt of Pension Credit. Pension Credit

provides financial help for people aged 60 or over whose income is below a

certain level set by the law.

The information boxes present information on the counts of pensioner

households or pensioners in each category. The chart on the top right shows

the change in the proportion of people receiving Pension Credit across Didcot

and comparator areas.

The chart on the bottom right compares Loneliness Index scores across Didcot

and comparator areas - a value closer to 0 predicts a greater prevalence of

loneliness amongst those aged 65.

Private pensioner households with

no car or van (Census 2011)

Households of one pensioner

(Census 2011)

Pension credit claimant (Department

for Work and Pensions: Aug-18)

815 906 330 28.2% of pensioner households (England

average = 40.8%)

57.9% of pensioner households

(England average = 59.6%) 9.5% (England average = 14.0%)

Figure: Pension Credit claimants

Source: Department for Work and Pensions (Aug-18)

Figure: Loneliness index (probability of loneliness for those aged 65 and over)

Source: Age UK (2011)

23



The information on this page looks at the number and proportion of people in

three groups with specific needs: mental health issues; households with multiple

deprivation; people providing unpaid care.

The figures for people with mental health issues are based on Employment

Support Allowance/Incapacity Benefit claimants who are claiming due to mental

health related conditions. Incapacity Benefit is payable to persons unable to

work due to illness or disability.

Households with multiple deprivation are households experiencing four key

measures of deprivation:

All adult household members have no qualifications

At least one household member is out of work (due to unemployment or

poor health)

At least one household member has a limiting long-term illness

The household is living in overcrowded conditions

Informal care figures show people who provide any unpaid care by the number

of hours a week they provide that care. A person is a provider of unpaid care if

they give any help or support to another person because of long-term physical or

mental health or disability, or problems related to old age.

The line chart on the right shows the change in the number of people claiming

Incapacity benefit for mental health reasons as a proportion of the working age

population and the chart below it includes figures for children and all people

providing unpaid care across Didcot.

Mental health related

benefits (DWP May-18)

Households suffering

multiple deprivation

(Census 2011)

People providing

unpaid care (Census

2011)

Unpaid care (50+

hours per week)

(Census 2011)

235 30 2,059 418 1.3% of working age adults

(England average = 2.7%)


0.5%)


= 10.2%)


2.4%)

Figure: Receiving Employment Support Allowance (ESA) and Incapacity Benefit (IB) due to mental health


Figure: People providing unpaid care

Source: Census 2011

Vulnerable groups: Other groups

24



The information on this page looks at the type of dwelling space people live in. A

dwelling space is the accommodation occupied by an individual household or, if

unoccupied, available for an individual household, for example the whole of a

terraced house, or a flat in a purpose-built block of flats.

The information boxes to the right show the number of people in Didcot living in

each accommodation type. The chart on the right shows a breakdown of

households by accommodation type across Didcot and comparator areas.

Detached Semi-detached Terraced Purpose built flat

1,925 4,301 2,590 1,247 18.5% (England average =

22.3%)


= 30.7%)

24.9% (England

average = 24.5%)


16.7%)

Flat (in converted house) Flat (in commercial

property)

Caravan or other

temporary dwelling Second homes (2001)

63 65 210 42 0.6% (England average =

4.3%)


1.1%)


= 0.4%)


0.6%)

Source: Census 2011

Figure: Dwellings type breakdown

Source: Census 2011

Housing: Type

25



The information on this page looks at the tenure of housing in Didcot. The information

boxes show the number of households broken down by tenure type and the chart shows

the tenure breakdown across Didcot and comparator areas.

‘Owner occupied’ housing includes accommodation that is either owned outright,

owned with a mortgage or loan, or shared ownership (paying part rent and part

mortgage).

‘Social rented’ housing includes accommodation that is rented from a council

(Local Authority) or a Housing Association, Housing Co-operative, Charitable

Trust, Non-profit housing company or Registered Social Landlord.

‘Rented from the Council includes accommodation rented from the Local

Authority

‘Housing Association or Social Landlord’ includes rented from Registered Social

Landlord, Housing Association, Housing Co-operative, Charitable Trust and non-

profit housing Company.

‘Private rented or letting agency’ includes accommodation that is rented from a

private landlord or letting agency.

‘Other Rented’ includes employer of a household member and relative or friend of

a household member and living rent free.

Owner occupied Owner-occupied: owned

outright

Owner-occupied owned: with

mortgage or loan

7,153 2,618 4,411 70.6% (England average = 64.1%) 25.8% (England average = 30.6%) 43.5% (England average = 32.8%)

Owner-occupied: shared

ownership Social rented households Rented from Council

124 1,341 208 1.2% (England average = 0.8%) 13.2% (England average = 17.7%) 2.1% (England average = 9.4%)

Rented from Housing

Association or Social Landlord

Rented from private landlord

or letting agency Other rented dwellings


Source: Census 2011

Figure: Housing tenure breakdowns

Source: Census 2011

Housing: Tenure

26



The information in this section shows measures of housing costs in Didcot. Data on

house prices is from the Land Registry open data price-paid dataset

(www.landregistry.gov.uk/market-trend-data/public-data/price-paid-data), which is

updated monthly.

House prices by dwelling type

The information boxes on the right and the top-left chart on the following page show

the mean house prices by accommodation type across Didcot and comparator areas

for four key dwelling types (detached houses, semi-detached houses, flats and

terraced houses). The bottom-left chart on page 25 shows the 10-year inflation

adjusted average change in house prices across Didcot and comparator areas.

The top-right chart on page 25 displays the monthly change in the number of

transactions and average price across Didcot and the bottom-right chart displays the

ratio of the number of residential property transactions (Land Registry Oct16-Sep17) to

the number of owner occupied and privately rented dwellings (Census 2011) – an

approximate measure of the proportion of housing stock that has change hands of the

year, or the housing ‘churn’.

Council tax bands

The data on Council Tax bands shows the number and proportion (as a percentage of

all rateable households) of houses in bands A, B or C (the lowest price bands) and F,

G and H (the highest price bands) locally. These price bands are set nationally, so can

be used to show how the cost of all local property (not just those properties that have

recently been sold) compares with other areas; the chart on the right compares Didcot

and comparator areas for these Council Tax bands.

Average house price (all types of

housing) (Land registry

March18-Feb19)

Average house price

(detached) (Land registry

March18-Feb19)

Average house price (flats)

(Land registry March18-

Feb19)

£288,766 £398,844 £187,177 England average = £300,229 England average = £416,984 England average = £301,583

Average house price (semi-

detached) (Land registry

March18-Feb19)

Average house price

(terraced) (Land registry

March18-Feb19)

Households in Council Tax

Band A (Valuation Office

Agency (VOA) 2018)

£296,915 £261,556 370 England average = £257,700 England average = £243,513 3.1% (England average = 24.4%)

Households in Council Tax Band

B (VOA 2018)


Band C (VOA 2018)


Band F-H (VOA 2018)


Figure: Dwelling stock by council tax band

Source: Valuation Office Agency (2018)

Housing: How affordable is local housing? (1)

http://www.landregistry.gov.uk/market-trend-data/public-data/price-paid-data

27


Figure: Average property price by dwelling type

Source: Land registry Figure: Average house prices and number of transactions, by month

Source: Land Registry

Figure: 10-year average house price change (inflation adjusted)

Source: Land registry Oct06-Oct07 to Oct16-Sep17 Figure: Ratio of residential property transactions to the total number of private dwellings

Source: Land Registry Oct16-Sep17, Census 2011


28



The information in this section combines measures of local house prices and local

earnings to provide a more balanced picture of housing affordability.

There are three indicators displayed here: housing affordability gap, savings ratio

and total affordability ratio. Each of these indicators is given for two measures of

house price: the average (median) house price and the lower quartile house price. The

lower quartile house price is set such that the cheapest 25% of houses fall within this

price and is a measure of the cost of cheaper, more affordable housing in the area.

Housing affordability gap: An estimate of the gap between the cost of local houses

and the amount residents can borrow. This is defined as the difference between the

local house price (either median or lower quartile) and 4.5 times local annual earnings

(mortgage lenders are typically willing to lend 4-5 times annual salaries). Higher

figures represent more unaffordable houses.

Savings ratio: The ratio between 15% of the house price (an estimate of the savings

required for a deposit) and monthly earnings. It can be interpreted as the number of

months’ worth of earnings required for a deposit (not accounting for inflation or

changes in earnings or house prices).

Total affordability ratio: This is the ratio between the total house price and annual

earnings. It can be interpreted as the number of years’ worth of earnings required for a

deposit (not accounting for inflation or changes in earnings or house prices).

The data for these measures come from the ONS House Price Statistics for Small

Areas (HPSSA) and ONS Income Estimates. Earnings data is published at MSOA

level and house price data is published at LSOA level and above) Where necessary,

we have modelled data to LSOA and OA geographies. The methodology used to

produce these statistics is based ONS’s housing affordability analysis.

Lower quartile house price (‘affordable housing’)

Average house price

Affordability gap Affordability gap

£18,045 £59,751 England average = -£39,328 England average = £42,272

Savings ratio

(months of earnings for a deposit)

Savings ratio

(months of earnings for a deposit)

9.42 11.19 England average = 6.54 England average = 10.41

Total ratio

(years of earnings for a house)

Total ratio

(years of earnings for a house)

4.92 5.71 England average = 3.57 England average = 5.5

Figure: Housing affordability gap for lower quartile house prices and average house prices.

Source: ONS House Price Statistics for Small Areas Oct16-Sep17; ONS earnings data 2015/2016


29



The information on this page details indicators of the built environment:

overcrowded housing, vacant housing, population density, the size of housing

units and the proportion of households lacking central heating.

A household's accommodation is described as 'without central heating' if it had no

central heating in any of the rooms (whether used or not). The data also shows

breakdowns by tenure. This enables users to compare differences in the

proportion of households with inadequate heating supply in the owner occupied,

social rented and private rented sectors.

Households are classified as overcrowded if there is at least one room fewer than

needed for household requirements using standard definitions. The standard used

to measure overcrowding is called the ‘occupancy rating’ which relates to the

actual number of rooms in a dwelling in relation to the number of rooms required

by the household, taking account of their ages and relationships. The room

requirement states that every household needs a minimum of two common rooms,

excluding bathrooms, with bedroom requirements that reflect the composition of

the household. The occupancy rating of a dwelling is expressed as a positive or

negative figure, reflecting the number of rooms in a dwelling that exceed the

household’s requirements, or by which the home falls short of its occupants’

needs.

Vacant dwellings are households that do not have any usual residents. This

includes households that may still be used by short-term residents, visitors who

were present on census night, or a combination of short-term residents and

visitors. It also includes vacant household spaces and household spaces that are

used as second addresses.

Population density

(persons / hectare)

Houses lacking central

heating

Overcrowded

Housing Vacant Dwellings

32.4 251 602 268

England average = 4.2 2.5% (England average =

2.7%)


= 8.7%)


4.3%)

Dwellings with 2 rooms

or fewer

Dwellings with 8 or

more rooms

Average dwelling

size (persons)

243 1,160 2.48 2.4% (England average =

3.7%)


= 12.7%)

England average = 2.36

people)

Source: Census 2011. Population density data – Office for National Statistics (ONS) 2016

Figure: Top - Housing Environment; Bottom - Dwelling size (number of rooms per household)

Source: Census 2011

Housing: Central heating, household overcrowding and dwelling size

30



The Department for Business, Energy and Industrial Strategy publishes

small area estimates of domestic gas and electricity consumption in

megawatt hours (Mwh). Gas consumption data are weather corrected

annual estimates of consumption for all domestic meters. A similar

methodology is used for collecting domestic electricity consumption data,

however, these values are not weather corrected. The methodologies are

sufficiently similar that summing the electricity consumption and gas

consumption gives an estimate of total annual energy consumption.

The data on this page were originally published by BEIS at postcode level

and have been designated as experimental statistics. Experimental

statistics are statistics that are new and subject to possible changes to meet

user needs or that do not meet the rigorous quality standards of National

Statistics. To avoid disclosure, postcodes are excluded if they contain less

than 6 meters or that have average consumption figures of 0 or 1.

The estimated number households not connected to the gas network is

based on the difference between the number of households and the

number of domestic gas meters.

To read more about the data and methodology here please visit

https://www.gov.uk/government/collections/sub-national-electricity-

consumption-data

Electricity consumption (Mwh) Gas consumption (Mwh) Households not connected to

the gas network

42440 108120 1215 (3.81 Mwh per meter) England

average = 3.78 Mwh per meter

(11.55 Mwh per meter) England

average = 13.07 Mwh per meter

(10.84% of households) England

average = 13.02%

Source: Department for Business, Energy and Industrial Strategy, 2015 (consumption), 2016 (not connected to gas network) Figure: Domestic gas and electricity consumption

Housing: Domestic gas and electricity consumption

31



This page details the energy efficiency ratings of domestic buildings within

Didcot.

The data are taken from Energy Performance Certificates (EPC) for

domestic buildings published by DCLG and have been aggregated to

Output Areas by the Consumer Data Research Centre. The definitions of

the measures on the right are given below.

The energy efficiency rating, expressed in Standard Assessment Procedure

(SAP) points, is a score between 1-100 with 1 being poor energy efficiency

and 100 being excellent energy efficiency. The current average rating of

buildings is given alongside the potential rating (if improvements to the

buildings were made) and the difference between the two - the ‘energy

efficiency gap’.

Buildings are awarded a band A EPC ratting if their energy efficiency rating

is equal or above 92. The number and proportion of inspected band A

buildings is given as well as the potential numbers. Again, the difference

between current and potential is given. Please be aware that these figures

do not account for all domestic buildings in an area.

Only homes that have been built, bought, sold or retrofitted since 2008 have

an EPC, which represents about 50 to 60 per cent of homes within a local

authority area. Additionally, data has not been published where the holder

of the energy certificate has opted-out of disclosure, energy certificates are

excluded on grounds of national security or energy certificates are marked

as “cancelled” or “not for issue”.

Energy efficiency rating, current

(SAP points)

Energy efficiency rating, potential

(SAP points)

Energy efficiency gap

(SAP points)

67.82 80.13 12.32

England average = 64.99 England average = 78.25 England average = 13.25

Band A buildings, current Band A buildings, potential Difference between current and

potential

2 772 770 (0.03%) England average = 0.14% (11.52%) England average = 3.07% (11.49%) England average = 2.93%

Source: DCLG. Data collected between 2009-2016.

Figure: Energy efficiency rating (SAP points)

Figure: Band A (high energy efficiency) rated buildings

Housing: Energy efficiency of domestic buildings

32



The information on this page shows the number of domestic

properties (the 'dwelling stock') broken down by age of

property (when the property was constructed). The rate

figures refer to the proportion of all properties whose build

age is known.

Built before 1900 Built between 1900 and 1939 Built between 1945 and

1999 Built after 2000

140 1,410 8,400 2,030

1.2% (England average = 15.7%) 11.8% (England average =

21.1%)


49.1%)


12.6%)

Figure: Dwellings by age of dwelling (year property was constructed) Source: Valuation Office Agency (VOA) 2018

Housing: Dwellings by age of dwelling

33



The information on this page shows the number of people living in communal

establishments, with breakdowns by the main types.

A communal establishment is defined as an establishment providing managed

(full-time or part-time supervised) residential accommodation.

The information boxes on the right show the number and proportion of people in

communal establishments by main type of establishment. Medical and care

establishments include psychiatric hospital / homes, other hospital homes

children's homes, residential care homes, nursing homes managed by the NHS,

Local Authority or private organisation; Educational establishments include

primarily University halls of residence; Defence establishments include

barracks, air bases and naval ships; Other establishments include prison

service establishments, bail hostels, hotels, boarding houses or guest houses,

hostels and civilian ships.

The chart on the top right provides the same information with associated

comparator areas.

All in communal

establishments

Medical and care

establishments

Education

establishments

Defence

establishments

Other

establishments

154 93 00 54 00

0.6% (England

average = 1.8%)

0.4% (England

average = 0.7%)

0.0% (England

average = 0.7%)

0.2% (England

average = 0.1%)

0.0% (England

average = 0.1%)

Source: Census 2011

Figure: Communal establishments by type

Source: Census 2011

Housing: Communal establishment residents

34



The information on this page and the following shows the level of recorded crime in

Didcot and comparator areas. This is based on data for individual crime incidents

published via the www.police.uk open data portal, which has been linked by Local

Insight to selected neighbourhoods. Further information on how these crimes and

incidents have been categorised, as well as which crimes and incidents have been

mapped and why, is available at: www.police.uk/about-this-site/faqs/#why-are-some-

crimes-not-displayed-on-the-map

The information boxes show counts and rates for the main crime types and anti-social

behaviour incidents. The overall crime rate is presented for monthly, quarterly and

annual snapshots, with the underlying crime types shown as annual totals.

The line charts to the right and on the following page track monthly change in recorded

crime across five key offences (violent crime, anti-social behaviour, burglaries, criminal

damage and vehicle crime) across Didcot and comparator areas.

Note: Police.uk crime counts were not recorded for Cambridgeshire or Gloucestershire

for May 2018, so data is missing for areas covered by these police forces for this time

point.

All crimes

Feb 2019 monthly total

All crimes

Dec18-Feb19

All crimes

March18-Feb19

111 367 1,525 05 per 1,000 population (England

average = 09)

14 per 1,000 population (England

average = 27)

59.3 per 1,000 population

(England average = 117.4)

Violent crimes

March18-Feb19

Criminal damage incidents

March18-Feb19

Anti-social behaviour incidents

March18-Feb19

557 172 192 19.7 per 1,000 population


6.1 per 1,000 population (England

average = 9.2)


average = 22.5)

Burglaries

March18-Feb19

Robberies

March18-Feb19

Vehicle crimes

March18-Feb19

88 10 82 8.5 per 1,000 households



average = 1.4)


average = 7.8)

Source: Recorded crime offences – https://data.police.uk/ (2019)

Figure: Violent crime offences

Source: https://data.police.uk/

Crime and safety: Recorded crime (1) (b)

http://www.police.uk/

https://data.police.uk/

http://www.police.co.uk/

35


Figure: Anti-social behaviour offences

Source: https://data.police.uk/ Figure: Burglary offences


Figure: Criminal damage offences

Source: https://data.police.uk/ Figure: Vehicle crime offences


Crime and safety: Recorded crime (2) (b)





36



The information in this section explores variations in life expectancy and premature

mortality. Life expectancy is a measure of the age a person born today can expect to

live until, if they experience current mortality rates throughout their life. The chart on the

right shows life expectancy at birth for females and males in Didcot and comparator

areas.

The first chart on the following page shows the standardised mortality ratio for all

causes and all ages for Didcot. This indicator highlights the ratio of observed to

expected deaths (given the age profile of the population). A mortality ratio of 100

indicates an area has a mortality rate consistent with the age profile of the area, less

than 100 indicates that the mortality rate is lower than expected and higher than 100

indicates that the mortality rate is higher than expected.

The second chart on the following page show incidence of cancer (with breakdowns for

the most common forms of cancer). The data is presented as an incidence ratio (ratio of

observed incidence vs expected incidence given the age profile of the population).

Figure: Life expectancy

Source: Office for National Statistics (2011-2015)

Figure: Healthy Life Expectancy

Source: Office for National Statistics (2009-2013) Figure: Disability-free Life Expectancy

Source: Office for National Statistics (2009-2013)

Health and wellbeing: Life expectancy and mortality

37


Figure: Incidence of cancer: Standardised incidence ratio (select causes)

Source: Office for National Statistics (2011/12-2014/15) Figure: Standardised mortality ratio (select causes)

Source: Office for National Statistics (2011/12-2014/15)

Health and wellbeing: Life expectancy and mortality (2)

38



The information in this section looks at general levels of health, focusing on the number

of people living in neighbourhoods with poor levels of overall health (health deprivation

hotspots) and the number of people with a limiting long-term illness.

Limiting long-term illness is defined as any long-term illness, health problem or disability

which limits someone's daily activities or the work they can do. Health deprivation

‘hotspots’ are neighbourhoods ranked among the most deprived 20% of

neighbourhoods in England on the Indices of Deprivation 2015 Health domain. The

domain measures morbidity, disability and premature mortality. All neighbourhoods in

England are grouped into ten equal sized groups “deciles”; the 10% of neighbourhoods

with the highest level of health deprivation are grouped in decile 10, and so on with the

10% of neighbourhoods with the lowest levels of health deprivation grouped in decile 1.

The chart on the right shows the number of people in Didcot living in each health decile.

The charts below shows the proportion of residents in Didcot with a limiting long-term

illness by age.

Number of people living

in health deprivation

‘hotspots’ (Indices of

Deprivation 2015)

People with a limiting

long-term illness

(Census 2011)

People aged 16-64

with a limiting long-

term illness

(Census 2011)

Babies born with a

low birth weight

(ONS 2011-2015)

0 3,355 1,620 65 -(England average =

19.8%)

13.4% (England=

17.6%)

9.6% (England=

12.7%) 3.6% (England= 2.8%)

Figure: Number of people in each deprivation decile, Health domain

Source: Indices of Deprivation 2015

Figure: People with a limiting long-term illness

Source: Census 2011

Health and wellbeing: General health and limiting long-term illness

39



The information in this section looks at admissions to hospital by main health condition

and hospital admissions and A&E attendance rates for children (aged under 5 years).

The chart on the top right shows emergency admissions to hospital across Didcot and

comparators. The chart on the bottom right shows elective in-patient hospital

admissions (admissions that have been arranged in advance).

The data are presented as standardised ratios; a ratio of 100 indicates an area has an

admission rate consistent with the national average, less than 100 indicates that the

admission rate is lower than expected and higher than 100 indicates that the admission

rate is higher than expected.

The information boxes at the bottom show the rate of emergency hospital admissions

and A&E attendances for children (aged under 5 years) per 1,000 resident population in

Didcot. Approximately 35% of all admissions in the NHS in England are classified as

emergency admissions, costing approximately £11 billion a year. Over one quarter of

emergency hospital admissions in children aged under 5 years in 2014/15 was for

respiratory infections. A&E attendances in children aged under five years are often

preventable, and commonly caused by accidental injury or by minor illnesses which

could have been treated in primary care.

Emergency hospital admissions for

children under 5 (per 1,000 population)

A&E attendance for children under 5 (per

1,000 population)

108 348

(England = 149) (England = 536)

Source: Hospital Episode Statistics, Information Centre for Health and Social Care, Office for National

Statistics (2013/14-2015/16)

Figure: Emergency hospital admissions: Standardised ratio (select causes) Source: Hospital Episode Statistics, Information Centre for Health and Social Care, Office for National Statistics

(2011/12-2014/15)

Figure: Elective hospital admissions: Standardised ratio (select causes)

Source: Hospital Episode Statistics, Information Centre for Health and Social Care, Office for National Statistics

(2011/12-2014/15)

Health and wellbeing: Hospital admissions

40



Arthritis UK have partnered with Imperial College London to produce modelled

estimates of the prevalence of musculoskeletal conditions for MSOAs in England. The

estimates were calculated by identifying risk factors, sourcing suitable data sources and

using statistical techniques to produce synthetic estimates of the numbers of people

with hip osteoarthritis, knee osteoarthritis and back pain.

We have defined percentages consistently with Arthritis UK’s methodology. Knee and

hip osteoarthritis figures are expressed as a percentage of the population aged

45 and over. Back pain figures are express as a percentage of the total

population.

People are deemed to have severe pain if they have pain most of the time or they are

unable to walk a quarter of a mile unaided or they have previously undergone hip or

knee replacement due to arthritis.

For more information visit https://www.arthritisresearchuk.org/arthritis-information/data-

and-statistics/musculoskeletal-calculator.aspx

© Arthritis Research UK

Number of people with

knee osteoarthritis

(Arthritis UK 2011)

Number of people with hip

osteoarthritis (Arthritis UK

2011)

Number of people with back pain

(Arthritis UK 2011)

1584 944 4140

17.1% (England= 18.2%) 10.2% (England= 10.9%) 16.2% (England= 16.9%)


severe knee osteoarthritis

(Arthritis UK 2011)


severe hip osteoarthritis

(Arthritis UK 2011)

Number of people with severe

back pain (Arthritis UK 2011)

522 251 2575

5.6% (England= 6.1%) 2.7% (England= 3.2%) 10.1% (England= 10.3%)

Figure: Prevalence of hip and knee arthritis in people aged 45 and over

Source: Arthritis UK (2011)

Figure: Prevalence of back pain in people of all ages

Source: Arthritis UK (2011)

Health and wellbeing: Musculoskeletal conditions

41



The information on this page looks at lifestyle behaviours of people living in Didcot.

Lifestyle behaviours are risk factors which play a major part in an individual’s health

outcomes and will have varying physical and psychological consequences.

The chart on the top right shows the healthy eating levels (consumption of five or more

portions of fruit and vegetables a day among adults) in Didcot. It also shows smoking

prevalence and levels of binge drinking in these areas. Binge drinking is defined as the

consumption of at least twice the daily recommended amount of alcohol in a single

drinking session (8 or more units for men and 6 or more units for women).

The chart on the bottom right shows the percentage of people children (in reception

year and year 6) and adults classified as obese in Didcot. People are considered obese

when their body mass index (BMI) a measurement obtained by dividing a person's

weight by the square of the person's height, exceeds 30 kg/m2.

Data for adult health are modelled estimates created from Health Survey for England

2006-2008. This is due to a lack of alternative small-area data for these indicators.

Figure: “Healthy eating” (consumptions of 5+ fruit and veg a day), binge drinking and smoking

Source: Health Survey for England 2006-2008

Figure: Children and adults classified as obese

Source: National Child Measurement Programme (NCMP) (2013-2015), Health Survey for England 2006-2008

Health and wellbeing: Healthy lifestyles

42



The information on this page looks at further lifestyle behaviours of people living in

Didcot.

The chart on the top right shows the percentage of children (in reception year and year

6) classified as overweight or obese in Didcot. This indicator shows the number of

children classified as overweight (including obese) where their BMI is on or above the

85th centile of the British 1990 growth reference (UK90) according to age and sex. The

indicator can be used to estimate and monitor excess weight and obesity in children in

order to reduce prevalence, inform planning and delivery of services for children, and

ensure the proper targeting of resources to tackle obesity.

The chart on the bottom right shows the modelled prevalence of smoking status for

people aged 15 in Didcot. It shows the percentage of those aged 15 who have never

smoked, are occasional smokers or are regular smokers. The Government’s Tobacco

Control Plan (March 2011) highlights the importance of reducing the number of young

people taking up smoking, as it is "an addiction largely taken up in childhood and

adolescence". One of the three national ambitions set out in the document was to

reduce rates of 15 year old regular smokers to 12% by 2015.

Figure: Children classified as overweight or obese

Source: National Child Measurement Programme, NHS Digital (http://www.localhealth.org.uk/) (2013/14-

2015/16)

Figure: Prevalence of people aged 15 smoking status

Source: Department of Geography, University of Portsmouth and Geography and Environment, University of

Southampton (http://www.localhealth.org.uk/) (2009-2012)

Health and wellbeing: Healthy lifestyles 2

http://www.localhealth.org.uk/

http://www.localhealth.org.uk/

43



This chart shows estimates of the levels of physical activity among adults. The data

have been produced by Sport England using a Small Area Estimation technique -

modelling down from a National Survey (the Active Lives Survey (2018)) to Middle

Layer Super Output Area (MSOA) based on the local demographic characteristics of the

local population. For more information on the modelling method see

https://www.sportengland.org/media/13327/sae-techreport-2018.pdf

The categories of physical activity follow the guidelines set by the Chief Medical Officer

and are defined below:

Physically active: undertaking at least 150 minutes per week in the past month

excluding gardening

Physically inactive: undertaking less than 30 minutes in the past month excluding

gardening

Physical activity at least twice a month: undertaking physical activity on at least two

occasions in the past month

Figure: Physical activity among adults

Source: Sport England (Active Lives Survey) 2018

Health and wellbeing: Healthy lifestyles 3

https://www.sportengland.org/media/13327/sae-techreport-2018.pdf

44



The information on this page looks at the estimated prevalence of a different health

conditions in Didcot.

The estimates calculated are based on the number of people listed on GP registers in

2017/18, and the number of people recorded as having the relevant health conditions.

The data from England’s GP practices was published by NHS digital.

It should be noted that these are only estimates and that they are sensitive to the

accuracy of GP data reporting. For some conditions (e.g. obesity and dementia), GP-

recorded prevalence is lower than the proportion of people living with the condition.

For full notes, methodology, and limitations, please see

https://commonslibrary.parliament.uk/social-policy/health/diseases/constituency-data-

how-healthy-is-your-area for more details.

The bar chart on the right shows a detailed breakdown of the estimated percentage of

prevalence by category of health condition.

Figure: % of estimated disease prevalence

Source: House of Commons Library (2019)

Health and wellbeing: Disease Prevalence

https://commonslibrary.parliament.uk/social-policy/health/diseases/constituency-data-how-healthy-is-your-area

https://commonslibrary.parliament.uk/social-policy/health/diseases/constituency-data-how-healthy-is-your-area

45



The information boxes and chart on the right show the education levels of residents in

Didcot, showing the number and proportion of adults (aged 16+) by highest level of

qualification. Note, figures in the table and charts may not add up to 100% because they

do not include figures for those for who with other qualifications or unknown

qualifications.

The Chart on the bottom left shows the proportion of people turning 18 between 2010-

11 and 2014-15 who went on to enter higher education.

People with no

qualifications

People with highest

qualification level 1

People with highest


People with highest


3,695 3,190 3,275 2,455 18.6% of working age

people (England=

22.5%)

16.1% of working age

people (England=

13.3%)


people (England=

15.2%)


people (England=

12.4%)

People with highest

qualification level 4+

(degree)

‘Level 1’ qualifications are equivalent to a single O-level, GCSE or NVQ. ‘Level

2’ qualifications are equivalent to five O-levels or GCSEs. ‘Level 3’

qualifications are equivalent to two A levels. ‘Level 4’ qualifications are

equivalent to degree level or higher. 5,470


people (England=

27.4%)

Source: Census 2011

Figure: Participation in higher education (Proportion of a young cohort that has entered higher education by

age 19)

Source: Office for Students (OFS)

Figure: People with no qualifications and degree level qualifications

Source: Census 2011

Education and skills: Qualifications and participation in higher education

46



The information on this page shows the outcomes of children in the Early Years

Foundation Stage (EYFS), a series of tests measuring children's progress in terms of

Personal, Social and Emotional Development (PSED) and Communication, Language

and Literacy (CLL). These are typically 5 year old pupils; however a minority of slightly

older and younger pupils may have been assessed.

The new Early Years Foundation Stage Profile requires practitioners to make a best fit

assessment of whether children are emerging, expected or exceeding against each of

the new 17 Early Learning Goals (ELGs). Children have been deemed to have reached

a Good Level of Development (GLD) in the new profile if they achieve at least the

expected level in the ELGs in the prime areas of learning (personal, social and

emotional development; physical development; and communication and language) and

in the specific areas of mathematics and literacy. These are 12 of the 17 ELGs. The

Department for Education has also introduced a supporting measure which measures

the total number of points achieved across all 17 ELGs and reports the average of every

child’s total point score.

The chart on the right shows the percentage of pupils achieving 17 ELG and the

percentage of pupils achieving a good level of development.

Figure: Early years foundation stage profile

Source: Department for Education (2013-2014)

Education and skills: Early years progress

47



The chart on the top right show the education levels of pupils in Didcot, showing the

examination results at Key Stage 1 (tests set at aged 7) Key Stage 2 (tests set at aged

11) and Key Stage 4 (GCSEs).

The figures show the Average Point Score of pupils from each of the Key Stage

examinations. This adjusts for high achieving pupils as well as pupils achieving

expected levels.

The chart on the top right shows Average Point Score (across all examinations) per

pupil at Key Stage 1 and Key Stage 2. The chart on the bottom right compares the gap

in Average Point Score at Key Stage 4 (GCSE) per pupil between Didcot and the

national average over time. The gap is measured as the point difference against the

England average. Areas with a score of greater than 1 are performing better than the

national average, while areas with a score of less than 1 are performing below.

Figure: Pupil attainment at Key Stage 1 and Key Stage 2

Source: Department for Education (2013-2014)

Figure: Pupil attainment at Key Stage 4

Source: Department for Education (2013-2014) Figure: Gap in pupil attainment at Key Stage 4 (difference from the national average)

Source: Department for Education

Education and skills: Pupil attainment

48



The information on this page looks at four types

of income category: average household

income; average equivalised household income

after housing costs; households living in fuel

poverty and median net equivalised household

PAYE and benefits income. Fuel poverty is said

to occur when in order to heat its home to an

adequate standard of warmth a household

needs to spend more than 10% of its income on

total fuel use.

The information boxes on the top right provide

an estimate of the number of households in

Didcot below the poverty line and an estimate

for the number of households in fuel poverty.

The chart on the right shows the average

annual household income estimate (equivalised

to take into account variations in household

size) across Didcot and comparator areas

before and after housing costs.

Annual household income (Office for

National Statistics 2015/16)

Annual household income, after housing

costs (Office for National Statistics 2015/16)

Households living in ‘Fuel Poverty’

Department for Energy and Climate

Change (2016)

£52,410 £32,714 650 England Average = £42,184 England Average = £27,311 6.1% of households (England = 11.1%)

Median net equivalised household PAYE and

benefits income (Office for National Statistics

2015/16)

£28,373 England Average = £24,577

Figure: Annual household earnings (£)

Source: Office for National Statistics (2015/16)

Economy: Income and fuel poverty

49



The levels of private debt, in the form of unsecured loans and mortgage debt, for Didcot are

displayed here.

These figures, available at postcode sector level, are published by UK Finance and account

for around 60% of borrowing in the UK. OCSI have modelled this data to Output Areas using

an address based lookup from postcode sector to Output Area in combination with the

number of local households and the local population.

The personal debt figure is the total amount of borrowing outstanding on customer accounts

divided by the population aged 18+. Personal debt includes all unsecured loans such as

credit cards, credit for new cars (eg when buying on finance) and other personal loans.

Student debt is not included.

The mortgage debt figure is the total borrowing outstanding on customer accounts for

residential mortgages divided by the total number of households.

The SME debt figure is the total amount of borrowing outstanding on customer accounts for

Small and Medium-sized enterprises divided by the population aged 18+.

Personal debt Residential mortgage debt SME lending debt

£909 £61,417 £434 England Average = £688 England Average = £37,862 England Average = £1,516

Source: UK Finance (Sept-2018)

Economy: Debt

50



The information on this page shows economic activity breakdowns for adults

aged 16-74 in Didcot.

The data in the information boxes shows the number and proportion of

residents who are economically active, with breakdowns for those working part

time, full time or are self-employed (note, these figures do not add up to all

those economically active as it excludes those economically active who are

unemployed or full-time students).

Economically active Full-time

employees

Part-time

employees

Self-employed

people

Economically

inactive

14,861 9,721 2,735 1,331 3,570

80.6% (England

average = 69.9%)

52.7% (England

average = 38.6%)

14.8% (England

average = 13.7%)

7.2% (England

average = 9.8%)

19.4% (England

average = 30.1%)

Source: Census 2011

Figure: Economic Activity

Source: Census 2011

Economy: Economic activity

51



The information on this page shows breakdowns of the main industry sectors people in

Didcot are working in, and their occupational status.

The data in the top information boxes shows the three largest employment sectors for

residents in the local area, also the number and percentage of employed people working

in each of these sectors. The lower information boxes and the chart on the right show

the numbers of residents in Didcot by type of occupation (e.g., managers, professional,

administrative).

Largest employment sector Second largest employment

sector

Third largest employment

sector

Retail Professional, scientific

& technical Health & social work

2,555 employees (18% of 14,200

of people in employment)

1,560 employees (11% of 14,200 of

people in employment)

1,330 employees (9% of 14,200 of

people in employment)

Managerial

occupations

Professional (or

associate)

occupations

Administrative or

secretarial

occupations

Skilled trades

occupations

Elementary

occupations

1,315 4,440 1,755 1,465 1,840 9.2% of 14,200

people in

employment

(England =

10.9%)

31.3% of 14,200

people in

employment

(England = 30.3%)

12.4% of 14,200

people in

employment

(England = 11.5%)

10.3% of 14,200

people in

employment

(England =

11.4%)

13.0% of 14,200

people in

employment

(England =

11.1%)

Source: Census 2011

Figure: People in professional and elementary occupations

Source: Census 2011

Economy: Job type

52



The information on this page shows the number of vacant jobs in Didcot

compared against the overall unemployment levels in the area.

The ‘Unemployment to ‘Available Jobs’ ratio, shown in the information box on the

right and the line chart below is the total number of people claiming

unemployment benefit (Jobseekers Allowance) divided by the total number of job

vacancies notified to Jobcentre Plus expressed as a ratio.

The bar chart on the bottom right shows month-on-month changes in the number

of job vacancies notified to Jobcentre Plus, that are located in the area covering

Didcot (based on postcode location of the job). Note, this data was last updated

by Jobcentre Plus for November 2012.

Unemployment to ‘Available

Jobs’ ratio Source: Job Centre Vacancies -

Office for National

Statistics/Jobcentre Plus (Nov-

12), Jobseekers Allowance

claimant count – Department for

Work and Pensions (Nov-12)

1.33 claimants per job

England average = 3.43

Figure: Total number of vacancies notified to Job Centre

Source: Office for National Statistics/Job Centre Plus

Figure: Ratio of unemployment (JSA claimants) to jobs (vacancies notified to Jobcentre Plus

Source: Office for National Statistics/Job Centre Plus, Department for Work and Pensions

Economy: Job opportunities

53


Economy: Local jobs


The information in this section shows the concentration of workforce jobs in Didcot.

Workforce jobs are taken from the Business Register and Employment Survey (BRES)

which publishes employee and employment estimates based on a survey of

approximately 80,000 businesses and weighted to represent all sectors of the UK

economy.

The information boxes show the three largest industry groups for workforce jobs based

in Didcot. The bar chart on the top right shows the change in ‘Jobs Density’ (the number

of jobs as a % of working age population) across Didcot over time. The bar chart on the

bottom right shows the share of jobs broken down by public and private sector.

Largest industry sector Second largest industry sector Third largest industry sector

Retail industry

Business

administration &

support services

Transport

19.2% of all people in

employment 14.2% of all people in employment 11.9% of all people in employment

Source: Business Register and Employment Survey (BRES) (2017)

Figure: Jobs Density (jobs as a % of working age population) (2017)

Source: Business Register and Employment Survey (BRES)

Figure: Jobs by public sector/private sector (2017)

Source: Business Register and Employment Survey (BRES)

54


Economy: Local businesses


The information in this section shows the concentration of ‘local business units’ in

Didcot. ‘Local business units’ are counts of businesses based on the location of an

operational unit. Though larger businesses such as supermarket chains may have their

head office in a large city, these figures measure all subsidiaries of that larger enterprise

based on where subsidiaries are located. The figures cover all business eligible for VAT

(1.7 million businesses in the UK are registered for VAT). These businesses are

categorised into 16 broad industry groups derived from the Standard Industrial

Classification (UKSIC (2003)).

The information boxes show the three largest industry groups for businesses based in

Didcot. The line chart shows the change in the number of businesses per head of the

population across Didcot over time. The bar chart shows the count of local business

broken down by size of business. Businesses are broken down into four employment

size bands based on the number of paid employees (0-4, 5-9, 10-19 and 20+ paid

employees).

Largest business sector Second largest business sector Third largest business sector

Construction Professional, scientific

& technical services

Post and

telecommunications 13.2% of all local businesses 11.3% of all local businesses 10.6% of all local businesses

Source: Office for National Statistics (2017)

Figure: Businesses (VAT based local units) per 10,000 working age population

Source: Office for National Statistics

Figure: Businesses (VAT based local units) by employment size band (2017)

Source: Office for National Statistics

55


Access and transport: Car ownership


The information on the right shows details of the number of cars and vans in each

household in Didcot. The count of cars or vans in an area is based on details for

private households only. Cars or vans used by residents of communal

establishments are not counted.

The information boxes show the number of households by number of cars owned

across Didcot, while the charts show the same information (expressed as a

percentage) against comparator areas.

No cars One car Two cars Three cars Four + cars

1,635 4,430 3,155 670 235 16.2% of

10,125

households

(England =

25.8%)

43.7% of 10,125

households

(England = 42.2%)

31.1% of 10,125

households

(England = 24.7%)

6.6% of 10,125

households

(England = 5.5%)

2.3% of 10,125

households (England

= 1.9%)

Source: Census 2011

Figure: Car ownership

Source: Census 2011

56



The information on this page shows the accessibility of key services and amenities

to people living in Didcot. Accessibility is measured both in terms of distance and

travel times to key services.

The information boxes on the right show average distances (in kilometres) to five

key services. The chart on the right shows average travel times in minutes to key

services when walking or taking public transport.

Average road

distance from Job

Centre

Average road

distance from

Secondary School

Average road

distance from

GP

Average road

distance from

Pub

Average road

distance from

Post Office

1.4km 1.2km 1.0km 0.7km 1.1km England average =

4.6km

England average =

2.1km

England average

= 1.2km

England average

= 0.7km

England average =

1.0km

Source: Road distances - Commission for Rural Communities: Distance to Service dataset (2010)

Figure: Average travel time (mins) by walking or public transport to the nearest key service

Source: Department for Transport: Core Accessibility Indicators (2016)

Access and transport: Distance and travel times to key services

57



The information on this page shows two measures of access to the internet. The first

measure shows information on broadband take-up, speeds and availability. It has been

produced by Ofcom and contains data provided by communications providers. The data

shows the average broadband line speed in Didcot and the proportion of broadband

connections in Didcot which with low broadband speeds (less than 2 Mbit/s).

The chart on the right shows the proportion of people who responded to the 2011

Census online, compared with the proportion that filled in the Census form on paper in

Didcot. This is a proxy measure of digital engagement as areas with a high proportion of

online Census responses are more likely to be digitally engaged than those in areas

with low levels of online responses.

Connections with low

broadband speeds

(less than 2 Mbit/s)

Average broadband

download speed

(Mbit/s)

Average broadband

upload speed (Mbit/s)

70 45.77 6.48 0.7% (England average =

2.2%)

England average =

45.08

England average =

6.05

Source: Ofcom 2017

Figure: Census online and paper responses

Source: Census 2011

Access and transport: Digital services

58


Communities and environment: Classification of neighbourhoods (1)


The information on this page looks at the characteristics of neighbourhoods across Didcot

as defined using the Output Area Classification (OAC). OAC classifies every area in the

country based on a set of socio-demographic characteristics, to provide a profile of areas

to identify similarities between neighbourhoods. The information boxes on the right show

the number and proportion of neighbourhoods in Didcot that fall within the eight

supergroup categories, detailed below. The chart on the right shows the proportion of

areas falling within supergroup categories across Didcot and comparators.

Rural residents Rural areas, sparsely populated, above average employment in agriculture, higher

number owning multiple cars, an older married population, a high provision of unpaid

care and an above average number of people living in communal establishments.

Cosmopolitans Residing in densely populated urban areas, high ethnic integration, high numbers of

single young adults without children including students, high public transport use, above

average qualification levels

Ethnicity central Concentrated in Inner London and other large cities, high ethnic diversity, high proportion

of rented accommodation, high proportion of people living in flats, low car ownership.

Multicultural

metropolitans

Concentrated in larger urban conurbations in the transitional areas between urban

centres and suburbia, high proportion of BME groups, high proportion of families.

Urbanites Predominantly in urban areas with high concentrations in southern England. More likely

to live in either flats or terraces that are privately rented.

Suburbanites Located on the outskirts, in areas with high owner occupation, high numbers of detached

houses, low unemployment, high qualifications and high car ownership.

Constrained city

dwellers

Higher proportion of older people, households are more likely to live in flats and to rent

their accommodation, and there is a higher prevalence of overcrowding, higher

proportion of people in poor health, lower qualification levels and high unemployment

Hard-pressed

living

Mostly on the fringe of the UK's urban areas, particularly in Wales and the North of

England. High levels of people in terraced accommodation, high unemployment, low

ethnic diversity, high levels of people employed in manufacturing

Rural residents Cosmopolitans Ethnicity central Multicultural

metropolitans

0 227 0 809 0.0% (England average =

10.5%)

0.9% (England

average = 4.9%)

0.0% (England

average = 6.6%)


15.3%)

Urbanites Suburbanites Constrained city

dwellers Hard-pressed living

13,639 3,661 577 6,227 54.3% (England average

= 18.6%)

14.6% (England

average = 20.8%)

2.3% (England

average = 6.2%)


= 17.2%)

Source: Office for National Statistics Output Area Classification 2011

Figure: Area Classification 2011: Proportion of people living in different types of neighbourhood (by

classification type)

Source: Output Area Classification (2011)

59


Communities and environment: Internet User Classification


The information on this page looks at the classification of neighbourhoods across Didcot

in terms of how they interact with the Internet. The Consumer Data Research Centre

(CDRC) have developed an Internet User Classification using data from the British

Population Survey (BPS), which provides info on the behavioural characteristics of the

population regarding various aspects of internet use, which could be linked with

demographic data from the census and supplemented with data from online retailers, on

online transactions and infrastructure data from OfCom on download speed. Every

LSOA in England has been classified into 10 groups (summarised in the table below).

The chart on the right shows the proportion of areas falling within each group across

Didcot and comparators.

Source: Alexiou, A. and Singleton, A. (2018). ESRC Consumer Data Research Centre; Contains National

Statistics data Crown copyright and database right (2017); Ofcom data (2016). CDRC data from Data Partners

(2017)

Figure: Internet User Classification 2018: Proportion of people living in different types of neighbourhood (by

classification type)

e-Cultural

Creators High levels of Internet engagement, particularly regarding social networks, communication, streaming and gaming, but relatively low levels of online shopping, besides groceries.

e-

Professionals

High levels of Internet engagement, and comprises fairly young populations of urban

professionals, typically aged between 25 and 34. They are experienced users and engage

with the Internet daily and in a variety of settings.

e-Veterans Affluent families, usually located within low-density suburbs, with populations of mainly

middle-aged and highly qualified professionals. Higher levels of engagement for information

seeking, online services and shopping, less for social networks or gaming.

Youthful

Urban Fringe

Reside at the edge of city centres and deprived inner city areas, ethnically diverse, young,

large student and informal household populations, access via mobile devices. High levels of

Internet engagement are average over-all, with high levels of social media usage

e-Rational

Utilitarians

Comprising mainly rural/semi-rural areas with higher than average retired populations,

constrained by poor infrastructure. Users undertake online shopping, the Internet is used as

a utility rather than a conduit for entertainment.

e-Mainstream Exhibit typical Internet user characteristics in heterogeneous neighbourhoods at the

periphery of urban areas or in transitional neighbourhoods.

Passive and

Uncommitted

Users

Limited or no interaction with the Internet. They tend to reside outside city centres and

close to the suburbs or semi-rural areas. Higher levels of employment in semi-skilled and

blue-collar occupations.

Digital Seniors Typically White British, retired and relatively affluent. Average use of the Internet, typically

using a personal computer at home. Despite being infrequent users, they are adept

enough to use the Internet for information seeking, financial services and online shopping.

Settled offline

Communities

Elderly, White British, in semi-rural areas. They undertake only limited engagement with

the Internet, they may have only rare access or indeed no access to it at all.

e-Withdrawn Least engaged with the Internet. Deprived neighbourhoods of urban regions. Highest rate

of unemployment and social housing among all Lowest rates of engagement in terms of

information seeking and financial services, as well as the lowest rate in terms of online

access via a mobile device.

60


Communities and environment: Neighbourhood satisfaction & local participation (1)


The information on this page shows different measures of people’s satisfaction

with their neighbourhood and their sense of community cohesion in the

neighbourhood. It also shows different measures of people’s participation in

volunteering and political decision making in the local area. In addition the

information box on the far bottom right shows the number of active charities per

1,000 population.

Figures are self-reported and taken from the Place Survey. The Place survey is

collected at Local Authority level so does not include neighbourhood information,

and ceased nationally in 2008 so is increasingly out of date.

“People from different

backgrounds get on well

together in the local

area”

People who feel that

they belong to their

neighbourhood

People who are

satisfied with local area

as a place to live

Aged 65+ "satisfied

with both home and

neighbourhood"

83% 64% 91% 90% (England = 76%) (England = 58%) (England = 79%) (England = 83%)

People involved in

decisions that affect the

local area in the past 12

months

People who believe

they can influence

decisions in their

local area

People who have given

unpaid help at least

once per month over

the last 12 months

Active charities

15% 33% 31% 5.1 per 1,000

population

(England = 14%) (England = 29%) (England = 23%) (England = 2.6 per 1,000)

Source: Place Survey (2008), Active Charities - National Council for Voluntary Organisations (NCVO) (2009). Note

all information is collected at Local Authority level

Figure: Indicators of community strength

Source: Place Survey (2008) Figure: Indicators of civic engagement

Source: Place Survey (2008)

61


Communities and environment: Neighbourhood satisfaction & local participation (2)


The page shows the Community Dynamics indicators for Didcot. The Community

Dynamics dataset (http://communitydynamics.social-life.co/index.html) has been

developed by Social Life with the aim of quantifying how people feel about the

area they live in.

By modelling responses from the annual Community Life Survey and

Understanding Society Survey to Output Areas, Social Life have created small

area measures of: strength of local social relationships, strength of

belonging to a local area and satisfaction with a local area as a place to live.

Positive values represent greater belonging/relationship strength/satisfaction than

the national average. Negative figures represent less belonging/relationship

strength/satisfaction than the national average.

Please note that these indicators have been created by combining the survey

responses of samples of the population and modelling these to Output Areas by

linking survey sample demographics to the demographics of Output Areas. As a

result, many implicit assumptions are built into the data which will not hold for all

areas. The values presented here offer an indication of community belonging,

strength and satisfaction rather than an absolute measure.

The fourth information box shows the valid voter turnout (%) at the most recent

Local Council Elections. Because the electoral cycle varies in different parts of the

country (with associated impacts on turnout) the turnout figures from previous

years have been adjusted either upwards or downwards from the 2018 average.

This is in order to reflect variation in turnout across different years. For example if

turnout was 30% in 2017 and 35% in 2018 than each area in 2017 would be

revised upwards using the following calculation 35/30 = 1.166*2017 turnout.

Local social

relationships Belonging

Satisfaction with local area

as a place to live

Voter Turnout at

Local Elections (%)

-0.009 -0.012 -0.014 27.9 (England = -0.006) (England = -0.011) (England = 0.001) (England = 35.2%)

Figure: Community Dynamic scores for belonging, relationships and satisfaction

Source: Social Life (modelled from the annual Community Life Survey), 2015/2016

Electoral

Commission (2018)

http://communitydynamics.social-life.co/index.html

62


Communities and environment: Air pollution


The information on this page shows background concentrations from

four air pollutants: nitrogen dioxide, benzene, sulphur dioxide and

particulates. The air quality data was collected for 2012 on a 1km grid

and obtained from the UK National Air Quality Archive for use in the

Indices of Deprivation 2015. A higher score indicates a higher

concentration of the pollution with a score of greater than 1 indicating

that the levels of pollution exceed national standards of clean air.

Benzene concentrations Nitrogen Dioxide

concentrations

Particulates (PM10)

concentrations

Sulphur Dioxide

concentrations

0.10 0.4 0.5 0.06 (England average = 0.09) (England average = 0.5) (England average = 0.4) (England average = 0.05)

Source: Communities and Local Government (Indices of Deprivation 2015 - from National Air Quality Archive 2012)

Figure: Air pollution concentrations for four pollutants

Source: Communities and Local Government (Indices of Deprivation 2015 – from National Air Quality Archive 2012)

63


Communities and environment: Green space coverage


Ordnance Survey (OS) publish the locations and extent of green

spaces that are likely to be accessible to the public. The data include

the following types of green spaces: allotments or community growing

spaces, bowling greens, cemeteries, religious grounds, golf courses,

other sports facilities, play spaces, playing fields, public parks or

gardens and tennis courts.

OCSI have intersected OS Open Greenspaces data with Output Area

boundaries to produce data for the greenspace per standard

geographical area (eg OA, LSOA, LA).

Two green space measures are shown here. The total green space

(which includes all types of green space) and the public parks and

gardens green space (only public parks and gardens).

Large rural areas such as National Parks are not included in the OS

Greenspace dataset. Religious grounds are included where there is

seen to be a significant amount (>500m2) of accessible greenspace.

Sports stadiums and grounds which are primarily for spectating rather

than participating in sports are not included. Playing fields should only

be included in OS Greenspace dataset where they are used by the

public at least some of the time. Playing fields such as school fields

which are entirely enclosed and only for use of the school, would not

be expected to be included.

Wooded areas that function as public parks (i.e. are freely accessible

to the public in their entirety and are managed for recreation) should

be included, however, the constraints of the capture method

employed to create the data mean that in many cases these may not

yet be included.

OS data © Crown copyright and database right 2017

Total green space Public parks and gardens

greenspace

8.24% 0.00% 70.77 hectares (England average

= 2.22%)

0.00 hectares (England average =

0.79%)

Source: OS data © Crown copyright and database right 2017

Figure: Percentage of green space coverage

Source: OS data © Crown copyright and database right 2017

64


Communities and environment: Big Lottery funding


Figures on this page are taken from data on grants made to projects and

organisations in local areas in the UK by the Big Lottery Fund, modelled down to

standard statistical geographies from ward grants data published by Big Lottery

in conjunction with the 360Giving initiative. Big Lottery used the 360Giving

standard to produce a dataset of all the grants made from 2004-2015 as well as

2004-2010 and 20011-2015. Note the (N) figure refers to total funding in the area

(in £1000s) over the period.

For more information on the 360Giving data format and initiative please visit

www.threesixtygiving.org/

Big Lottery funding (2004-2015) Big Lottery funding (2004-2010) Big Lottery funding (2011-2015)

£1014k £300k £709k (£36 per head) England average =

£102 per head

(£11 per head) England average =

£56 per head

(£25 per head) England average =

£46 per head

Source: Big Lottery, 360Giving

Figure: Big Lottery grant funding per head, 2004-2015

Source: Big Lottery, 360Giving, 2015

http://www.threesixtygiving.org/

65


Appendix A: About the data and geographies used in this report

How we have identified the “Didcot” area

This report is based on the definition of the “Didcot” area (this area can be viewed on the

Local Insight map, through finding the area on the ‘show services’ dropdown in the top

left hand corner of the map. We have aggregated data for all the neighbourhoods in

“Didcot” to create the data used in this report.

Alongside data for the “Didcot” neighbourhood we also show data for selected

comparator areas.

Data in this report is based on regularly updated open data published by government sources

All the data in this report is based on open data published by more than 50 government

agencies, collected and updated by OCSI on weekly basis. Data is updated on regular

basis, with the reports and mapped data on the website reflecting the latest available

data.

Details of the individual datasets are provided on the pages where the data is presented,

with information on dates and sources presented alongside the charts and tables. On the

website, information about each source is available on the popup “About the indicator”

link at the top-right of the map.

Standard geographies used in this report

Super Output Areas (SOAs): SOAs are a statistical geography created for the purpose of

presenting data such as the Census, Indices of Deprivation, and other neighbourhood

statistics. There are two layers to the SOA geography: ‘lower layer’ (LSOA) and ‘middle

layer’ (MSOA). SOAs are designed to produce areas of roughly equal population size -

1,500 people for LSOAs and 7,200 for MSOAs. The majority of data used in this report is

based on LSOA boundaries; of which there are 32,844 in England (there were changes

to around 4% of LSOA definitions in Census 2011).

Output Areas (OAs): OAs are a more detailed statistical geography than SOAs, with each

covering around 300 people, or 120 households. There are 171,372 OAs in England

(there were changes to around 5% of OA definitions in Census 2011).

Wards: A small number of datasets are published at ward level. These are on average

four times larger than LSOAs. Data is less detailed than LSOA level datasets and wards

vary greatly in size, from less than 200 residents (Isles of Scilly), to more than 36,000

residents (in Sheffield).

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Appendix B: Data source details by theme

Theme Data Data source/ time period Date published Date next update

Population

Total population and by age Mid-Year Estimates (ONS) 2017 Annually (published November 2017) Nov-19

Population by ethnicity Census 2011 10 yearly (published August 2013) 2023

Population by country of birth Census 2011 10 yearly (published August 2013) 2023

Population by household language Census 2011 10 yearly (published August 2013) 2023

People who have moved address within the last 12 months Census 2011 10 yearly (published August 2013) 2023

National Insurance no. registrations of overseas nationals DWP 2017/18 Annually (published May 2018) June-19

Level of inward and outward migration (by age) ONS 2010 Irregular (published 2011) No publication date confirmed

Population by household composition Census 2011 10 yearly (published August 2013) 2023

Population by religion Census 2011 10 yearly (published August 2013) 2023

Vulnerable groups

Unemployment benefit (JSA and Universal Credit) DWP Mar-19 Monthly (published March) April-19

Jobseekers Allowance claimants, claiming for over 12 months DWP Mar-19 Monthly (published March) April-19

Youth unemployment (18-24 receiving JSA or Universal Credit) DWP Mar-19 Monthly (published March) April-19

Older person unemployment (50+ receiving JSA or Universal Credit) DWP Mar-19 Monthly (published March) April-19

Unemployment benefit (JSA and Universal Credit), male DWP Mar-19 Monthly (published March) April-19

Unemployment benefit (JSA and Universal Credit), female DWP Mar-19 Monthly (published March) April-19

Working age workless benefit claimants DWP Aug-18 Quarterly (published February 2019) May-19

Incapacity Benefit claimants DWP Aug-18 Quarterly (published February 2019) May-19

Disability Living Allowance claimants DWP Aug-18 Quarterly (published February 2019) May-19

Attendance Allowance claimants DWP Aug-18 Quarterly (published February 2019) May-19

Personal Independence Payments (PIP) DWP Oct-18 Monthly (published December 2018) Jan-19

Universal Credit by Conditionality DWP Mar-19 Monthly (published March) April-19

Working age DWP Benefit claimants DWP Nov-16 Quarterly (published May 2017) Discontinued

Female working age benefit claimants DWP Nov-16 Quarterly (published May 2017) Discontinued

Male working age benefit claimants DWP Nov-16 Quarterly (published May 2017) Discontinued

Income Support (IS) claimants DWP Aug-18 Quarterly (published February 2019) May-19

Housing Benefit claimants DWP Nov-18 Quarterly (published February 2019) May-19

Universal Credit claimants DWP Mar-19 Monthly (published March) April-19

Indices of Deprivation (ID) 2015 by domain CLG (Indices of Deprivation 2015) Irregular (September 2015) 2019

Children in ‘out of work’ households HM Revenue and Customs 2016 Annual (published November 2017) Jan-19

Children in lone parent households DWP 2012 Irregular No publication date confirmed

Children in poverty DWP 2016 Annually (published December 2018) Dec-19

Child Wellbeing Index CLG (Child Wellbeing Index 2009) Irregular (published 2009) No publication date confirmed

Private pensioner households with no car or van Census 2011 10 yearly (published August 2013) 2023

67


Households of one pensioner Census 2011 10 yearly (published August 2013) 2023

Pension credit claimants DWP May-18 Quarterly (published November 2018) Feb-19

Loneliness index Age UK 2011 Irregular (published January 2016) No publication date confirmed

Mental health related benefits DWP May-18 Quarterly (published November 2018) Feb-19

Households suffering multiple deprivation Census 2011 10 yearly (published August 2013) 2023

People providing unpaid care Census 2011 10 yearly (published August 2013) 2023

Unpaid care (50+ hours per week) Census 2011 10 yearly (published August 2013) 2023

Housing

Dwelling type breakdowns Census 2011 10 yearly (published August 2013) 2023

Housing tenure breakdowns Census 2011 10 yearly (published August 2013) 2023

Average house prices by housing type Land registry March18-Feb19 Quarterly (published April 2019) July-19

Households by Council Tax Band Valuation Office Agency (VOA) 2017 Annually (published August 2017) Under consultation

Housing affordability gap, average house prices and savings ratio ONS House Price Statistics for Small Areas Oct16-Sep17; ONS earnings data 2015/2016

Irregular (published April 2018) Earnings data April-19

Population density (persons / hectare) ONS 2016 Annually (published November 2018) Nov-19

Housing Environment Census 2011 10 yearly (published August 2013) 2023

Dwelling size Census 2011 10 yearly (published August 2013) 2023

Electricity and Gas consumption Department for Business, Energy and Industrial Strategy, 2015

Irregular (published March 2017) No publication date confirmed

Households not connected to the gas network Department for Energy and Climate Change (DECC) 2016

Annually (published January 2018) Jan-19

Energy efficiency ratings DCLG. Data collected between 2009-2016

Irregular (published 2017) No publication date confirmed

Communal establishments by type Census 2011 10 yearly (published August 2013) 2023

Crime and safety Recorded crime offences Police UK 2019 Quarterly (published April 2019) July-19

Health and wellbeing

Life expectancy ONS 2011-2015 Irregular (published 2017) No publication date confirmed

Healthy Life Expectancy ONS 2009-2013 Annually (published 2016) Delay in publication

Disability-free Life Expectancy ONS 2009-2013 Annually (published 2016) Delay in publication

Incidence of cancer by cause ONS 2011/12-2014/15 Annually (published 2017) Jan-19

Cancer mortality by cause ONS 2011/12-2014/15 Annually (published 2017) Jan-19

Number of people living in health deprivation ‘hotspots’ CLG (Indices of Deprivation 2015) Irregular (September 2015) 2019

People with a limiting long-term illness Census 2011 10 yearly (published August 2013) 2023

Babies born with a low birth weight ONS 2011-2015 Annually (published 2017) Jan-19

Hospital admissions ONS 2011/12-2014/15 Annually (published 2017) Jan-19

Musculoskeletal conditions by type Arthritis UK (2011) Irregular (published 2017) No publication date confirmed

“Healthy eating” (consumptions of 5+ fruit and veg a day), binge drinking

and smoking

Health Survey for England 2006-2008 Irregular (published 2014) No publication date confirmed

Children classified as obese National Child Measurement Programme (NCMP) (2013-2015)


68


Adults classified as obese Health Survey for England 2006-2008 Irregular (published 2014) No publication date confirmed

Physical activity among adults Sport England (Active Lives Survey) 2018

Irregular (published December 2018) No publication date confirmed

Education and skills

Qualifications by level Census 2011 10 yearly (published August 2013) 2023

Participation in Higher Education Office for Students (OFS) Irregular No publication date confirmed

Early years foundation stage profile DfE 2013-2014 Annually (published June 2015) Delay in publication

Pupil attainment at Key Stage 1, Key Stage 2 and Key Stage 4 DfE 2013-2014 Annually (published June 2015) Delay in publication

Economy

Annual household income ONS 2015/16 Irregular (published April 2018) Apr-19

Annual household income, after housing costs ONS 2015/16 Irregular (published April 2018) Apr-19

Households living in ‘Fuel Poverty’ Department for Energy and Climate Change (2016)

Annually (published July 2018) Apr-19

Debt UK Finance (Sept-2018) Bianually (published April 2019) Oct-19

Economic activity by type Census 2011 10 yearly (published August 2013) 2023

Employment type by sector Census 2011 10 yearly (published August 2013) 2023

Job centre vacancies ONS/Jobcentre Plus (Nov-12) Irregular (published December 2012) No publication date confirmed

Jobs by sector Business Register and Employment Survey (BRES) (2017)

Annually (published 2018) Oct-19

Business VAT based local units by sector and size ONS 2017 Annually (published August 2018) Sep-19

Access and transport

Car ownership by number Census 2011 10 yearly (published August 2013) 2023

Road distances to key services by type Commission for Rural Communities: Distance to Service dataset (2010)


Average travel time (mins) by walking or public transport to the nearest key service

DfT 2016 Annually (published July 2018) Aug-19

Broadband speed Ofcom 2017 Annually (published December 2017) Jan-19

Census online and paper responses Census 2011 10 yearly (published August 2013) 2023

Communities and environment

Area classifications by type ONS Output Area Classification 2011 10 yearly (published July 2014) No publication date confirmed

Internet User Classification Consumer Data Research Centre Annually (published 2018) 2019

Indicators of community strength and civic engagement Place Survey (2008) Irregular (published June 2009) No publication date confirmed

Active charities National Council for Voluntary Organisations (NCVO) (2009)


Community Dynamic scores for belonging, relationships and satisfaction Social Life (modelled from the annual Community Life Survey), 2015/2016

Irregular No plans to update

Air pollution concentrations for four pollutants CLG, Indices of Deprivation 2015 - from National Air Quality Archive 2012

Irregular (September 2015) 2019

Greenspaces and parks OS data © Crown copyright and database right 2017

Irregular (published May 2017) No publication date confirmed

Big Lottery funding Big Lottery, 360Giving, 2004-2015 Irregular No publication date confirmed

69


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Documents

Local Insight profile for Didcot’ area€¦ · Local Insight profile for ‘Didcot’ area LI - Oxfordshire Community Foundation Report created 23 April 2019 . 2 Finding your way